An AI Manager Just Made the Decision to Fire a Human Worker

For years, artificial intelligence has been discussed as a technology that could replace certain jobs. Now the conversation has taken an unusual turn: **an AI has reportedly made the decision to fire a human employee.** At Andon Market, an experimental retail store in San Francisco, an AI manager named **Luna** has been given responsibility for many of the tasks normally performed by a human store manager — including hiring workers, managing schedules, purchasing products and overseeing day-to-day operations. And now, Luna has recommended terminating one of its human employees. ## Late for 17 of 23 Shifts According to Andon Labs, the company behind the experiment, the employee had been late for **17 out of 23 shifts**. After reviewing the employee's attendance history, previous warnings and the store's attendance rules, Luna concluded that the employee should be dismissed. The decision was reviewed and implemented by humans, meaning an AI did not literally walk into a room and legally fire someone without human involvement. But the important part is what happened before that. **The recommendation to terminate the employee came from the AI manager itself.** Andon Labs has described it as the first known example of an AI boss making this kind of decision involving a human employee. ## A Real Store Run by an AI Andon Market is not a simulation. It is a physical boutique in San Francisco created as a real-world experiment to understand what happens when an AI agent is given responsibility for operating a business. Luna has been involved in hiring employees, interviewing applicants, managing contractors, selecting merchandise and running store operations. The experiment began with a simple question: **How much of a real company can an AI actually manage?** The answer appears to be: quite a lot — but far from perfectly. Earlier reports about the project showed Luna making mistakes involving scheduling, hiring and store operations. The AI even struggled to consistently remember some of the policies it had created itself. ## The AI Had to Be Reminded of Its Own Rules One of the most interesting parts of the firing story is that Luna did not immediately react to the employee's repeated lateness. The AI had previously created an attendance policy but later failed to properly apply it. Only after researchers prompted Luna to review the situation did the system reassess the employee's attendance record and conclude that termination was appropriate. This exposes one of the strange realities of today's AI agents. They can analyze information, create rules, manage tasks and make surprisingly complex decisions — while at the same time forgetting context or failing to act unless they are prompted in the right way. ## The Bigger Story Is Not One Fired Employee The most important part of this experiment is not whether this particular employee deserved to be fired. It is what the experiment suggests about the future of management. Until